Rumor detection method, system and device based on multiple scales and double views

The invention discloses a rumor detection method, system and device based on multiple scales and double views. The method comprises the steps of obtaining tweet data; based on the tweet data, constructing a propagation graph and generating a training set; constructing a graph neural network model based on a multi-scale framework and a double-view framework to obtain a detection model; training the detection model based on the training set to obtain a trained detection model; and applying the trained detection model to a rumor detection task. The system comprises a data acquisition module, a preprocessing module, a model construction module, a training module and an application module. The device comprises a memory and a processor used for executing the rumor detection method based on the multiple scales and the double views. According to the invention, the accuracy of the rumor detection task can be improved. The method can be widely applied to the field of model application. 本发明公开了一种基于多尺度和双视图的谣言检测方法、系统及装置，该方